DEFEATFRAUD: Assessment and validation of deep feature engineering and learning solutions for fraud detection [DEFEATFRAUD: Assessment and validation of deep feature engineering and learning solutions for fraud detection]The project aims at improving the existing fraud detection process of Worldline by adding a number of deep learning and adaptive functionalities to the existing data driven strategies. This will be made possible by increasing the degree of autonomy and adaptivity of the detection process thanks to a number of methodological improvements: 1) design and assessment of an online learning classifier based on deep learning, whose great potential has not yet been explored in the domain of fraud detection 2) automation of the feature creation step by adopting recent representation learning techniques (deep learning) 3) integration of supervised and unsupervised techniques for precision improvement 4) introduction of an exploration step (based on active and semi-supervised learning) in the labeling process to improve the reactivity to fraud change and nonstationarity. We expect several benefits ranging from enhanced fraud detection accuracy, better interpretability of fraudulent patterns, and fraud prevention. [The project aims at improving the existing fraud detection process of Worldline by adding a number of deep learning and adaptive functionalities to the existing data driven strategies. This will be made possible by increasing the degree of autonomy and adaptivity of the detection process thanks to a number of methodological improvements: 1) design and assessment of an online learning classifier based on deep learning, whose great potential has not yet been explored in the domain of fraud detection 2) automation of the feature creation step by adopting recent representation learning techniques (deep learning) 3) integration of supervised and unsupervised techniques for precision improvement 4) introduction of an exploration step (based on active and semi-supervised learning) in the labeling process to improve the reactivity to fraud change and nonstationarity. We expect several benefits ranging from enhanced fraud detection accuracy, better interpretability of fraudulent patterns, and fraud prevention.]

Brussels MOBI-AID : Brussels MOBIlity Advanced Indicators Dashboard [Brussels MOBI-AID : Brussels MOBIlity Advanced Indicators Dashboard]Brussels MOBI-AID (Brussels MOBIlity-Advanced Indicators Dashboard) aims at designing and building this performance monitoring system, by means of a dashboard of advanced mobility indicators that will allow(1) to better understand mobility dynamics in Brussels Region,(2) to support local authorities in designing suitable and sustainable policies,(3) to assist Brussels, capital of Europe, to be recognized as a model of a Smart Region.The transition from the current model to a Smart Region model raises a number of non-trivial challenges, which range from reliable storage of, and easy access to, massive amounts of mobility data, to extracting sustainable mobility indicators in an automated and validated manner and to actioning the extracted indicators in a dashboard.We expect that Brussels MOBI-AID by making mobility smarter and more sustainable in Brussels Region will provide many valorisation pathways as it will provide an open data platform with smart data on mobility. [Brussels MOBI-AID (Brussels MOBIlity-Advanced Indicators Dashboard) aims at designing and building this performance monitoring system, by means of a dashboard of advanced mobility indicators that will allow(1) to better understand mobility dynamics in Brussels Region,(2) to support local authorities in designing suitable and sustainable policies,(3) to assist Brussels, capital of Europe, to be recognized as a model of a Smart Region.The transition from the current model to a Smart Region model raises a number of non-trivial challenges, which range from reliable storage of, and easy access to, massive amounts of mobility data, to extracting sustainable mobility indicators in an automated and validated manner and to actioning the extracted indicators in a dashboard.We expect that Brussels MOBI-AID by making mobility smarter and more sustainable in Brussels Region will provide many valorisation pathways as it will provide an open data platform with smart data on mobility. ]